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<div class="title">AssetsLibrary.cpp</div>  </div>
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<a href="_assets_library_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_assets_library_8h.xhtml">tests/AssetsLibrary.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2_utils_8h.xhtml">Utils.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="utils_2_type_printer_8h.xhtml">utils/TypePrinter.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_tensor_8h.xhtml">arm_compute/core/ITensor.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &lt;cctype&gt;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &lt;fstream&gt;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &lt;map&gt;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &lt;mutex&gt;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &lt;sstream&gt;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &lt;stdexcept&gt;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &lt;tuple&gt;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &lt;unordered_map&gt;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;{</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;template &lt;typename T, typename std::enable_if&lt;std::is_integral&lt;T&gt;::value, <span class="keywordtype">int</span>&gt;::type = 0&gt;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="keywordtype">void</span> rgb_to_luminance(<span class="keyword">const</span> RawTensor &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, RawTensor &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>)</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;{</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <span class="comment">// Ensure in/out tensors have same image dimensions (independent of element size and number of channels)</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(src.num_elements() != dst.num_elements(), <span class="stringliteral">&quot;Input and output images must have equal dimensions&quot;</span>);</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_elements = dst.num_elements();</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="comment">// Currently, input is always RGB888 (3 U8 channels per element). Output can be U8, U16/S16 or U32</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="comment">// Note that src.data()[i] returns pointer to first channel of element[i], so RGB values have [0,1,2] offsets</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0, j = 0; j &lt; num_elements; i += 3, ++j)</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    {</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="keyword">reinterpret_cast&lt;</span>T *<span class="keyword">&gt;</span>(dst.data())[j] = 0.2126f * src.data()[i] + 0.7152f * src.data()[i + 1] + 0.0722f * src.data()[i + 2];</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    }</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;}</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keywordtype">void</span> extract_r_from_rgb(<span class="keyword">const</span> RawTensor &amp;src, RawTensor &amp;dst)</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;{</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(src.size() != 3 * dst.size());</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_elements = dst.num_elements();</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0, j = 0; j &lt; num_elements; i += 3, ++j)</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    {</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        dst.data()[j] = src.data()[i];</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;}</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="keywordtype">void</span> extract_g_from_rgb(<span class="keyword">const</span> RawTensor &amp;src, RawTensor &amp;dst)</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;{</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(src.size() != 3 * dst.size());</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_elements = dst.num_elements();</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 1, j = 0; j &lt; num_elements; i += 3, ++j)</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    {</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        dst.data()[j] = src.data()[i];</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    }</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;}</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="keywordtype">void</span> extract_b_from_rgb(<span class="keyword">const</span> RawTensor &amp;src, RawTensor &amp;dst)</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;{</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(src.size() != 3 * dst.size());</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> num_elements = dst.num_elements();</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 2, j = 0; j &lt; num_elements; i += 3, ++j)</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    {</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        dst.data()[j] = src.data()[i];</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    }</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;}</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="keywordtype">void</span> discard_comments(std::ifstream &amp;fs)</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;{</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="keywordflow">while</span>(fs.peek() == <span class="charliteral">&#39;#&#39;</span>)</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    {</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        fs.ignore(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits&lt;std::streamsize&gt;::max</a>(), <span class="charliteral">&#39;\n&#39;</span>);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    }</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;}</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;<span class="keywordtype">void</span> discard_comments_and_spaces(std::ifstream &amp;fs)</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;{</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="keywordflow">while</span>(<span class="keyword">true</span>)</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    {</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        discard_comments(fs);</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        <span class="keywordflow">if</span>(isspace(fs.peek()) == 0)</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        {</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;            <span class="keywordflow">break</span>;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        }</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        fs.ignore(1);</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    }</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;}</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;std::tuple&lt;unsigned int, unsigned int, int&gt; parse_netpbm_format_header(std::ifstream &amp;fs, <span class="keywordtype">char</span> number)</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;{</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="comment">// check file type magic number is valid</span></div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    std::array&lt;char, 2&gt; magic_number{ { 0 } };</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    fs &gt;&gt; magic_number[0] &gt;&gt; magic_number[1];</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <span class="keywordflow">if</span>(magic_number[0] != <span class="charliteral">&#39;P&#39;</span> || magic_number[1] != number)</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    {</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;        <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;File type magic number not supported&quot;</span>);</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    }</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    discard_comments_and_spaces(fs);</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 0;</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    fs &gt;&gt; width;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    discard_comments_and_spaces(fs);</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 0;</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    fs &gt;&gt; height;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    discard_comments_and_spaces(fs);</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keywordtype">int</span> max_value = 0;</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    fs &gt;&gt; max_value;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordflow">if</span>(!fs.good())</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    {</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;Cannot read image dimensions&quot;</span>);</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    }</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="keywordflow">if</span>(max_value != 255)</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    {</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;        <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;RawTensor doesn&#39;t have 8-bit values&quot;</span>);</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    }</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    discard_comments(fs);</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    <span class="keywordflow">if</span>(isspace(fs.peek()) == 0)</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    {</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;        <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;Invalid image header&quot;</span>);</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    }</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    fs.ignore(1);</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="keywordflow">return</span> std::make_tuple(width, height, max_value);</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;}</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;std::tuple&lt;unsigned int, unsigned int, int&gt; <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">parse_ppm_header</a>(std::ifstream &amp;fs)</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;{</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <span class="keywordflow">return</span> parse_netpbm_format_header(fs, <span class="charliteral">&#39;6&#39;</span>);</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;}</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;std::tuple&lt;unsigned int, unsigned int, int&gt; parse_pgm_header(std::ifstream &amp;fs)</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;{</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="keywordflow">return</span> parse_netpbm_format_header(fs, <span class="charliteral">&#39;5&#39;</span>);</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;}</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="keywordtype">void</span> check_image_size(std::ifstream &amp;fs, <span class="keywordtype">size_t</span> raw_size)</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;{</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> current_position = fs.tellg();</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = fs.tellg();</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <span class="keywordflow">if</span>((end_position - current_position) &lt; raw_size)</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    {</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;        <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;Not enough data in file&quot;</span>);</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    }</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;}</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;<span class="keywordtype">void</span> read_image_buffer(std::ifstream &amp;fs, RawTensor &amp;raw)</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;{</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    fs.read(reinterpret_cast&lt;std::fstream::char_type *&gt;(raw.data()), raw.size());</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    <span class="keywordflow">if</span>(!fs.good())</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    {</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;        <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;Failure while reading image buffer&quot;</span>);</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    }</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;}</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;RawTensor load_ppm(<span class="keyword">const</span> std::string &amp;path)</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;{</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    std::ifstream file(path, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    <span class="keywordflow">if</span>(!file.good())</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    {</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;        <span class="keywordflow">throw</span> framework::FileNotFound(<span class="stringliteral">&quot;Could not load PPM image: &quot;</span> + path);</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    }</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width  = 0;</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 0;</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    std::tie(width, height, std::ignore) = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">parse_ppm_header</a>(file);</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    RawTensor raw(TensorShape(width, height), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>);</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    check_image_size(file, raw.size());</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    read_image_buffer(file, raw);</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <span class="keywordflow">return</span> raw;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;}</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;RawTensor load_pgm(<span class="keyword">const</span> std::string &amp;path)</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;{</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    std::ifstream file(path, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    <span class="keywordflow">if</span>(!file.good())</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    {</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        <span class="keywordflow">throw</span> framework::FileNotFound(<span class="stringliteral">&quot;Could not load PGM image: &quot;</span> + path);</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    }</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width  = 0;</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 0;</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    std::tie(width, height, std::ignore) = parse_pgm_header(file);</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    RawTensor raw(TensorShape(width, height), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>);</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    check_image_size(file, raw.size());</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    read_image_buffer(file, raw);</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    <span class="keywordflow">return</span> raw;</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;}</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;</div><div class="line"><a name="l00249"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">  249</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">AssetsLibrary::AssetsLibrary</a>(std::string path, std::random_device::result_type seed) <span class="comment">//NOLINT</span></div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    : _library_path(std::move(path)),</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;      _seed{ seed }</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;{</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;}</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;</div><div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">  255</a></span>&#160;std::string <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">AssetsLibrary::path</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    <span class="keywordflow">return</span> _library_path;</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;}</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;</div><div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">  260</a></span>&#160;std::random_device::result_type <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">AssetsLibrary::seed</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    <span class="keywordflow">return</span> _seed;</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;}</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;</div><div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a56f49b809537f3564de1eb7703c4dfab">  265</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">AssetsLibrary::fill</a>(<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;raw, <span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format)<span class="keyword"> const</span></div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;src = <span class="keyword">get</span>(name, format);</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    std::copy_n(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>(), raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">size</a>(), raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>());</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;}</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;</div><div class="line"><a name="l00271"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a8fca830911339dca1cefcd78763063cf">  271</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">AssetsLibrary::fill</a>(<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;raw, <span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a8fca830911339dca1cefcd78763063cf">fill</a>(raw, name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;}</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;</div><div class="line"><a name="l00276"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a32621ba3c7498c558f27e61606af85f4">  276</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">AssetsLibrary::fill</a>(<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;raw, <span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160; 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   <span class="keyword">static</span> std::map&lt;std::pair&lt;Format, Format&gt;, Converter&gt; converters =</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    {</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;        { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">Format::U8</a>), rgb_to_luminance&lt;uint8_t&gt; },</div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;        { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">Format::U16</a>), rgb_to_luminance&lt;uint16_t&gt; },</div><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;        { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">Format::S16</a>), rgb_to_luminance&lt;int16_t&gt; },</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">Format::U32</a>), rgb_to_luminance&lt;uint32_t&gt; }</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    };</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160; 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       msg &lt;&lt; <span class="stringliteral">&quot;Cannot convert from format &#39;&quot;</span> &lt;&lt; src &lt;&lt; <span class="stringliteral">&quot;&#39; to format &#39;&quot;</span> &lt;&lt; dst &lt;&lt; <span class="stringliteral">&quot;&#39;\n&quot;</span>;</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;        <span class="keywordflow">throw</span> std::invalid_argument(msg.str());</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;    }</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;}</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;<span class="keyword">const</span> AssetsLibrary::Converter &amp;AssetsLibrary::get_converter(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> src, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> dst)<span class="keyword"> const</span></div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;    <span class="keyword">static</span> std::map&lt;std::pair&lt;DataType, Format&gt;, Converter&gt; converters = {};</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> it = converters.find(std::make_pair(src, dst));</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    <span class="keywordflow">if</span>(it != converters.end())</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;    {</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;        <span class="keywordflow">return</span> it-&gt;second;</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    }</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160; 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       { std::make_pair(<a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">Channel::B</a>), extract_b_from_rgb }</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;    };</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> it = extractors.find(std::make_pair(format, channel));</div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;    <span class="keywordflow">if</span>(it != extractors.end())</div><div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160; 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       (*get_converter(raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>(), format))(raw, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>);</div><div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;        raw = std::move(dst);</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;    }</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;    <span class="keywordflow">return</span> _cache.<a class="code" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">add</a>(std::forward_as_tuple(name, format), std::move(raw));</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;}</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;AssetsLibrary::find_or_create_raw_tensor(<span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160; 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   <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(find_or_create_raw_tensor(name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>));</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;}</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;</div><div class="line"><a name="l00473"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a3675bd0074fa527b42c6516a37f8f232">  473</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> num_channels)<span class="keyword"> const</span></div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;raw = <span class="keyword">get</span>(name);</div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(raw.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, num_channels);</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;}</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;</div><div class="line"><a name="l00480"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a0e77935822447adc6cdce586f276f97d">  480</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format)<span class="keyword"> const</span></div><div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;    <span class="keywordflow">return</span> find_or_create_raw_tensor(name, format);</div><div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;}</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;</div><div class="line"><a name="l00485"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#ab760ccaa18b95b99c73eb0e763f39ec2">  485</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format)</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;{</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(find_or_create_raw_tensor(name, format));</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;}</div><div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;</div><div class="line"><a name="l00490"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a11f5f1baaad31d1067564eccf599e90c">  490</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">get</span>(name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;}</div><div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;</div><div class="line"><a name="l00495"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#af6f0ca724e534653925306023dbb88e7">  495</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)</div><div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;{</div><div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(<span class="keyword">get</span>(name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel));</div><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;}</div><div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;</div><div class="line"><a name="l00500"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a8c511f7046a704b8352ea8a8bbf456fa">  500</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> &amp;<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)<span class="keyword"> const</span></div><div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;    <span class="keywordflow">return</span> find_or_create_raw_tensor(name, format, channel);</div><div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;}</div><div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;</div><div class="line"><a name="l00505"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_assets_library.xhtml#ad6182f07b3eda32931598aa4f2bfc11a">  505</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary::get</a>(<span class="keyword">const</span> std::string &amp;name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format, <a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)</div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;{</div><div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a>(find_or_create_raw_tensor(name, format, channel));</div><div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;}</div><div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="classarm__compute_1_1test_1_1_raw_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">arm_compute::test::RawTensor</a></div><div class="ttdoc">Subclass of SimpleTensor using uint8_t as value type. </div><div class="ttdef"><b>Definition:</b> <a href="_raw_tensor_8h_source.xhtml#l00038">RawTensor.h:38</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a80a7b5ae084bf22b91bc5f68a06711c0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(T &amp;&amp;tensor, D &amp;&amp;distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Fills the specified tensor with random values drawn from distribution. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00453">AssetsLibrary.h:453</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ad7701a09a964eab360a8e51fa7ad2c16"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">arm_compute::test::SimpleTensor::size</a></div><div class="ttdeci">size_t size() const override</div><div class="ttdoc">Total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00318">SimpleTensor.h:318</a></div></div>
<div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_aa337ab76176f3c4193642ac6de3a61cf"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">arm_compute::test::get_format_for_channel</a></div><div class="ttdeci">Format get_format_for_channel(Channel channel)</div><div class="ttdoc">Look up the format corresponding to a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00148">Utils.h:148</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">arm_compute::Channel::B</a></div><div class="ttdoc">Blue channel. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a8fca830911339dca1cefcd78763063cf"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a8fca830911339dca1cefcd78763063cf">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(RawTensor &amp;raw, const std::string &amp;name, Channel channel) const </div><div class="ttdoc">Fills the raw tensor with the content of the specified channel extracted from the given image...</div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00271">AssetsLibrary.cpp:271</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::test::SimpleTensor::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Image format of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00325">SimpleTensor.h:325</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 U16 per channel </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a4035a1140831801ced5dfa1d9fe6988a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">arm_compute::test::AssetsLibrary::seed</a></div><div class="ttdeci">std::random_device::result_type seed() const </div><div class="ttdoc">Seed that is used to fill tensors with random values. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00260">AssetsLibrary.cpp:260</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00294">SimpleTensor.h:294</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6">arm_compute::Channel::R</a></div><div class="ttdoc">Red channel. </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_acc474b96886b5fd500460c7b25dc84fa"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa">arm_compute::test::AssetsLibrary::get_image_shape</a></div><div class="ttdeci">TensorShape get_image_shape(const std::string &amp;name)</div><div class="ttdoc">Provides a tensor shape for the specified image. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00458">AssetsLibrary.cpp:458</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a9b67b266207227062c7a2961ef85293a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">arm_compute::test::AssetsLibrary::path</a></div><div class="ttdeci">std::string path() const </div><div class="ttdoc">Path to assets directory used to initialise library. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00255">AssetsLibrary.cpp:255</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">3 channels, 1 U8 per channel </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_ac7dbe33793790fc37a5eda11ed6b0273"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#ac7dbe33793790fc37a5eda11ed6b0273">arm_compute::test::get_channel_format</a></div><div class="ttdeci">Format get_channel_format(Channel channel)</div><div class="ttdoc">Return the format of a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00167">Utils.h:167</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a0c52a8f0085b55d907af7210ef2069d0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">arm_compute::test::SimpleTensor::data</a></div><div class="ttdeci">const T * data() const </div><div class="ttdoc">Constant pointer to the underlying buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00398">SimpleTensor.h:398</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 U32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455a"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">arm_compute::Channel</a></div><div class="ttdeci">Channel</div><div class="ttdoc">Available channels. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00481">Types.h:481</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00050">Types.h:50</a></div></div>
<div class="ttc" id="utils_2_type_printer_8h_xhtml"><div class="ttname"><a href="utils_2_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
<div class="ttc" id="_assets_library_8h_xhtml"><div class="ttname"><a href="_assets_library_8h.xhtml">AssetsLibrary.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a024fbe836c85d10afefc81cd2e51658e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">arm_compute::test::AssetsLibrary::get</a></div><div class="ttdeci">const RawTensor &amp; get(const std::string &amp;name) const </div><div class="ttdoc">Provides a constant raw tensor for the specified image. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00463">AssetsLibrary.cpp:463</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel </div></div>
<div class="ttc" id="tests_2_utils_8h_xhtml"><div class="ttname"><a href="tests_2_utils_8h.xhtml">Utils.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_tensor_cache_xhtml_a00b2f7f657ef8060c64fce93abac54e1"><div class="ttname"><a href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">arm_compute::test::TensorCache::add</a></div><div class="ttdeci">RawTensor &amp; add(std::tuple&lt; const std::string &amp;, Format &gt; key, RawTensor raw)</div><div class="ttdoc">Add the given tensor to the cache. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_cache_8h_source.xhtml#l00105">TensorCache.h:105</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_tensor_cache_xhtml_ab9838ae8ffe3b1f98e1330d3ee260f98"><div class="ttname"><a href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#ab9838ae8ffe3b1f98e1330d3ee260f98">arm_compute::test::TensorCache::find</a></div><div class="ttdeci">RawTensor * find(std::tuple&lt; const std::string &amp;, Format &gt; key)</div><div class="ttdoc">Search the cache for a tensor of created from the specified image and format. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_cache_8h_source.xhtml#l00093">TensorCache.h:93</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf">arm_compute::Channel::G</a></div><div class="ttdoc">Green channel. </div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3aa8f5f1b94f88fdf5b43a53e29379cf"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">arm_compute::utils::parse_ppm_header</a></div><div class="ttdeci">std::tuple&lt; unsigned int, unsigned int, int &gt; parse_ppm_header(std::ifstream &amp;fs)</div><div class="ttdoc">Parse the ppm header from an input file stream. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00144">Utils.cpp:144</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_adb53338108890e6b7354e16a1e9ae716"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#adb53338108890e6b7354e16a1e9ae716">arm_compute::test::AssetsLibrary::AssetsLibrary</a></div><div class="ttdeci">AssetsLibrary(std::string path, std::random_device::result_type seed)</div><div class="ttdoc">Initialises the library with a path to the assets directory. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00249">AssetsLibrary.cpp:249</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00319">Error.h:319</a></div></div>
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